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franac1
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hate_speech

Text Classification
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Safetensors
electra
Generated from Trainer
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xet
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End of training

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  1. README.md +37 -40
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,12 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8688
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- - Accuracy: 0.7970
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- - Auc Score: 0.8778
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- - F1: 0.8222
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- - Precision: 0.7921
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- - Recall: 0.8546
 
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  ## Model description
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@@ -53,40 +54,36 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc Score | F1 | Precision | Recall |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:---------:|:------:|
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- | 0.6298 | 0.0923 | 100 | 0.5147 | 0.75 | 0.8339 | 0.7734 | 0.7696 | 0.7773 |
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- | 0.5265 | 0.1845 | 200 | 0.5786 | 0.7279 | 0.8387 | 0.7065 | 0.8659 | 0.5966 |
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- | 0.53 | 0.2768 | 300 | 0.4984 | 0.7721 | 0.8519 | 0.8072 | 0.7536 | 0.8689 |
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- | 0.533 | 0.3690 | 400 | 0.4937 | 0.7620 | 0.8575 | 0.8008 | 0.7407 | 0.8714 |
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- | 0.484 | 0.4613 | 500 | 0.5134 | 0.7597 | 0.8538 | 0.8045 | 0.7268 | 0.9008 |
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- | 0.4723 | 0.5535 | 600 | 0.4743 | 0.7818 | 0.8623 | 0.8015 | 0.8005 | 0.8025 |
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- | 0.4753 | 0.6458 | 700 | 0.6482 | 0.7274 | 0.8661 | 0.7921 | 0.6812 | 0.9462 |
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- | 0.5042 | 0.7380 | 800 | 0.4545 | 0.7864 | 0.8671 | 0.8021 | 0.8164 | 0.7882 |
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- | 0.5203 | 0.8303 | 900 | 0.4609 | 0.7837 | 0.8684 | 0.8119 | 0.7767 | 0.8504 |
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- | 0.454 | 0.9225 | 1000 | 0.4819 | 0.7754 | 0.8671 | 0.7765 | 0.8554 | 0.7109 |
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- | 0.4599 | 1.0148 | 1100 | 0.5349 | 0.7864 | 0.8717 | 0.8010 | 0.8197 | 0.7832 |
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- | 0.3534 | 1.1070 | 1200 | 0.5687 | 0.7818 | 0.8706 | 0.8040 | 0.7931 | 0.8151 |
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- | 0.328 | 1.1993 | 1300 | 0.6812 | 0.7809 | 0.8649 | 0.8093 | 0.7748 | 0.8471 |
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- | 0.3662 | 1.2915 | 1400 | 0.5995 | 0.7837 | 0.8799 | 0.8172 | 0.7622 | 0.8807 |
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- | 0.385 | 1.3838 | 1500 | 0.4919 | 0.7929 | 0.8747 | 0.8150 | 0.7995 | 0.8311 |
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- | 0.3312 | 1.4760 | 1600 | 0.6258 | 0.7947 | 0.8778 | 0.8142 | 0.8091 | 0.8193 |
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- | 0.3924 | 1.5683 | 1700 | 0.5400 | 0.7924 | 0.8731 | 0.8154 | 0.7965 | 0.8353 |
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- | 0.3304 | 1.6605 | 1800 | 0.6309 | 0.7929 | 0.8831 | 0.8178 | 0.7906 | 0.8471 |
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- | 0.3599 | 1.7528 | 1900 | 0.6720 | 0.7966 | 0.8793 | 0.8165 | 0.8087 | 0.8244 |
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- | 0.4077 | 1.8450 | 2000 | 0.6728 | 0.7883 | 0.8833 | 0.8217 | 0.7639 | 0.8891 |
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- | 0.3038 | 1.9373 | 2100 | 0.6785 | 0.7938 | 0.8854 | 0.8216 | 0.7825 | 0.8647 |
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- | 0.2641 | 2.0295 | 2200 | 0.7032 | 0.7984 | 0.8821 | 0.816 | 0.8177 | 0.8143 |
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- | 0.2258 | 2.1218 | 2300 | 0.8256 | 0.7860 | 0.8774 | 0.8180 | 0.7669 | 0.8765 |
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- | 0.2048 | 2.2140 | 2400 | 0.8105 | 0.8026 | 0.8747 | 0.8197 | 0.8218 | 0.8176 |
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- | 0.23 | 2.3063 | 2500 | 0.9278 | 0.7892 | 0.8731 | 0.8211 | 0.7685 | 0.8815 |
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- | 0.2274 | 2.3985 | 2600 | 0.8879 | 0.7911 | 0.8733 | 0.8011 | 0.8390 | 0.7664 |
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- | 0.1667 | 2.4908 | 2700 | 0.9328 | 0.7915 | 0.8784 | 0.8192 | 0.7817 | 0.8605 |
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- | 0.2208 | 2.5830 | 2800 | 0.8900 | 0.7989 | 0.8797 | 0.8185 | 0.8111 | 0.8261 |
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- | 0.2478 | 2.6753 | 2900 | 0.9207 | 0.7947 | 0.8799 | 0.8229 | 0.7816 | 0.8689 |
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- | 0.26 | 2.7675 | 3000 | 0.8699 | 0.7943 | 0.8759 | 0.8202 | 0.7884 | 0.8546 |
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- | 0.2079 | 2.8598 | 3100 | 0.8664 | 0.7952 | 0.8768 | 0.8202 | 0.7914 | 0.8513 |
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- | 0.1781 | 2.9520 | 3200 | 0.8688 | 0.7970 | 0.8778 | 0.8222 | 0.7921 | 0.8546 |
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  ### Framework versions
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7742
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+ - Model Preparation Time: 0.0024
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+ - Accuracy: 0.8037
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+ - Auc Score: 0.8861
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+ - F1: 0.8318
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+ - Precision: 0.8010
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+ - Recall: 0.8651
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | Auc Score | F1 | Precision | Recall |
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+ |:-------------:|:------:|:----:|:---------------:|:----------------------:|:--------:|:---------:|:------:|:---------:|:------:|
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+ | 0.6024 | 0.1054 | 100 | 0.6052 | 0.0024 | 0.6806 | 0.7925 | 0.6496 | 0.8453 | 0.5274 |
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+ | 0.5439 | 0.2107 | 200 | 0.5120 | 0.0024 | 0.7514 | 0.8372 | 0.7941 | 0.7419 | 0.8542 |
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+ | 0.515 | 0.3161 | 300 | 0.5180 | 0.0024 | 0.7538 | 0.8469 | 0.8035 | 0.7278 | 0.8969 |
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+ | 0.5225 | 0.4215 | 400 | 0.5000 | 0.0024 | 0.7698 | 0.8393 | 0.7863 | 0.8210 | 0.7544 |
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+ | 0.4935 | 0.5269 | 500 | 0.5008 | 0.0024 | 0.768 | 0.8457 | 0.7961 | 0.7855 | 0.8070 |
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+ | 0.5196 | 0.6322 | 600 | 0.5069 | 0.0024 | 0.7674 | 0.8473 | 0.8023 | 0.767 | 0.8410 |
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+ | 0.4918 | 0.7376 | 700 | 0.5011 | 0.0024 | 0.7655 | 0.8565 | 0.8109 | 0.7407 | 0.8958 |
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+ | 0.5182 | 0.8430 | 800 | 0.4873 | 0.0024 | 0.7902 | 0.8616 | 0.8150 | 0.8067 | 0.8235 |
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+ | 0.4749 | 0.9484 | 900 | 0.4606 | 0.0024 | 0.7815 | 0.8674 | 0.8109 | 0.7886 | 0.8344 |
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+ | 0.4042 | 1.0537 | 1000 | 0.5453 | 0.0024 | 0.7852 | 0.8735 | 0.8211 | 0.7709 | 0.8783 |
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+ | 0.3593 | 1.1591 | 1100 | 0.5650 | 0.0024 | 0.7791 | 0.8745 | 0.8193 | 0.7572 | 0.8925 |
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+ | 0.3911 | 1.2645 | 1200 | 0.5108 | 0.0024 | 0.8025 | 0.8783 | 0.8264 | 0.8154 | 0.8377 |
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+ | 0.3445 | 1.3699 | 1300 | 0.6231 | 0.0024 | 0.7902 | 0.8815 | 0.8265 | 0.7711 | 0.8904 |
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+ | 0.4027 | 1.4752 | 1400 | 0.5336 | 0.0024 | 0.8062 | 0.8796 | 0.8239 | 0.8404 | 0.8081 |
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+ | 0.3058 | 1.5806 | 1500 | 0.6094 | 0.0024 | 0.7957 | 0.8760 | 0.8232 | 0.8002 | 0.8476 |
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+ | 0.3535 | 1.6860 | 1600 | 0.5834 | 0.0024 | 0.7951 | 0.8810 | 0.8254 | 0.7910 | 0.8629 |
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+ | 0.3713 | 1.7914 | 1700 | 0.5286 | 0.0024 | 0.7969 | 0.8817 | 0.8278 | 0.7898 | 0.8695 |
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+ | 0.359 | 1.8967 | 1800 | 0.5292 | 0.0024 | 0.8086 | 0.8819 | 0.8290 | 0.8313 | 0.8268 |
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+ | 0.3762 | 2.0021 | 1900 | 0.5222 | 0.0024 | 0.8037 | 0.8814 | 0.8297 | 0.8085 | 0.8520 |
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+ | 0.2101 | 2.1075 | 2000 | 0.6738 | 0.0024 | 0.8055 | 0.8793 | 0.8271 | 0.8253 | 0.8289 |
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+ | 0.2307 | 2.2129 | 2100 | 0.7485 | 0.0024 | 0.8012 | 0.8845 | 0.8324 | 0.7901 | 0.8794 |
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+ | 0.2403 | 2.3182 | 2200 | 0.7186 | 0.0024 | 0.8049 | 0.8818 | 0.8322 | 0.8045 | 0.8618 |
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+ | 0.221 | 2.4236 | 2300 | 0.7233 | 0.0024 | 0.8074 | 0.8818 | 0.8334 | 0.8097 | 0.8586 |
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+ | 0.2112 | 2.5290 | 2400 | 0.7259 | 0.0024 | 0.8123 | 0.8844 | 0.8345 | 0.8260 | 0.8432 |
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+ | 0.2155 | 2.6344 | 2500 | 0.7302 | 0.0024 | 0.8117 | 0.8854 | 0.8342 | 0.8244 | 0.8443 |
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+ | 0.1997 | 2.7397 | 2600 | 0.7658 | 0.0024 | 0.8074 | 0.8832 | 0.8289 | 0.8266 | 0.8311 |
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+ | 0.2761 | 2.8451 | 2700 | 0.7838 | 0.0024 | 0.8037 | 0.8869 | 0.8334 | 0.7956 | 0.875 |
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+ | 0.1878 | 2.9505 | 2800 | 0.7742 | 0.0024 | 0.8037 | 0.8861 | 0.8318 | 0.8010 | 0.8651 |
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 442499672
 
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  size 442499672